Difference between revisions of "Kai-Fu Lee"
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During the mid and late 80s, along with [[Sanjoy Mahajan]], Kai-Fu Lee co-authored the at that time world class [[Othello]] program ''Bill'' <ref>[[Kai-Fu Lee]], [[Sanjoy Mahajan]] ('''1986'''). ''[https://kilthub.cmu.edu/articles/BILL_a_table-based_knowledge-intensive_othello_program/6603887/1 BILL: a table-based, knowledge-intensive othello program]''. Technial Report CMU-CS-86-141, [[Carnegie Mellon University]]</ref>, | During the mid and late 80s, along with [[Sanjoy Mahajan]], Kai-Fu Lee co-authored the at that time world class [[Othello]] program ''Bill'' <ref>[[Kai-Fu Lee]], [[Sanjoy Mahajan]] ('''1986'''). ''[https://kilthub.cmu.edu/articles/BILL_a_table-based_knowledge-intensive_othello_program/6603887/1 BILL: a table-based, knowledge-intensive othello program]''. Technial Report CMU-CS-86-141, [[Carnegie Mellon University]]</ref>, | ||
initially written in [[LISP|Common Lisp]] at [[Carnegie Mellon University]] in 1985, in 1986 rewritten in [[C]], and in 2005 released under the [[Free Software Foundation#GPL|GPL]] <ref>[http://www.inference.phy.cam.ac.uk/sanjoy/othello/bill-1.0.tar.gz BILL: An Othello program released under the GPL] from [http://www.inference.phy.cam.ac.uk/sanjoy/ Sanjoy Mahajan's Home Page]</ref>. | initially written in [[LISP|Common Lisp]] at [[Carnegie Mellon University]] in 1985, in 1986 rewritten in [[C]], and in 2005 released under the [[Free Software Foundation#GPL|GPL]] <ref>[http://www.inference.phy.cam.ac.uk/sanjoy/othello/bill-1.0.tar.gz BILL: An Othello program released under the GPL] from [http://www.inference.phy.cam.ac.uk/sanjoy/ Sanjoy Mahajan's Home Page]</ref>. | ||
| − | ''Bill 3.0'' applies [https://en.wikipedia.org/wiki/Bayesian_inference Bayesian learning] of [https://en.wikipedia.org/wiki/Discriminant_function_analysis discriminant functions] that [[Automated Tuning| | + | ''Bill 3.0'' applies [https://en.wikipedia.org/wiki/Bayesian_inference Bayesian learning] of [https://en.wikipedia.org/wiki/Discriminant_function_analysis discriminant functions] that [[Automated Tuning|automatically combines]] [[Evaluation|evaluation]] features <ref>[[Kai-Fu Lee]] ('''1986'''). ''[https://kilthub.cmu.edu/articles/A_pattern_classification_approach_to_evaluation_function_learning/6591158 A pattern classification approach to evaluation function learning]''. Technial Report CMU-CS-86-173, [[Carnegie Mellon University]]</ref> <ref>[http://satirist.org/learn-game/systems/othello/bill.html Bill] from [http://satirist.org/learn-game/systems/othello/ The strong learning Othello Programs], [http://satirist.org/learn-game/ Machine Learning in Games] by [[Jay Scott]]</ref>. |
=Selected Publications= | =Selected Publications= | ||
Revision as of 16:42, 10 June 2019
File:Capture medium.jpg
Kai-Fu Lee [1]
Kai-Fu Lee,
a Taiwanese computer scientist with expertise in artificial intelligence, technology executive, venture capitalist, and writer.
He was founding president of Google China, serving from July 2005 through September 2009, and was also affiliated with Microsoft, SGI and Apple.
Kai-Fu Lee graduated from Columbia University in computer science in 1983, and earned a Ph.D. from Carnegie Mellon University in 1988, where he worked on machine learning, pattern recognition and speech recognition, developing the CMU Sphinx system.
Contents
Bill
During the mid and late 80s, along with Sanjoy Mahajan, Kai-Fu Lee co-authored the at that time world class Othello program Bill [2], initially written in Common Lisp at Carnegie Mellon University in 1985, in 1986 rewritten in C, and in 2005 released under the GPL [3]. Bill 3.0 applies Bayesian learning of discriminant functions that automatically combines evaluation features [4] [5].
Selected Publications
1986 ...
- Kai-Fu Lee, Sanjoy Mahajan (1986). BILL: a table-based, knowledge-intensive othello program. Technial Report CMU-CS-86-141, Carnegie Mellon University, pdf
- Kai-Fu Lee (1986). A pattern classification approach to evaluation function learning. Technial Report CMU-CS-86-173, Carnegie Mellon University
- Kai-Fu Lee, Sanjoy Mahajan (1988). A Pattern Classification Approach to Evaluation Function Learning. Artificial Intelligence, Vol. 36, No. 1
- Kai-Fu Lee (1988). Large-vocabulary speaker-independent continuous speech recognition: The SPHINX system. Ph.D. thesis, Carnegie Mellon University, advisor Raj Reddy
- Kai-Fu Lee (1989). Automatic Speech Recognition: The Development of the SPHINX System. Kluwer Academic Publishers
- Kai-Fu Lee (1989). Hidden Markov models: past, present, and future. EUROSPEECH 1989 [7]
- Kai-Fu Lee, Sanjoy Mahajan (1989). Corrective and Reinforcement Learning for Speaker-independent continuous Speech Recognition. EUROSPEECH 1989
1990 ...
- Kai-Fu Lee, Sanjoy Mahajan (1990). The Development of a World Class Othello Program. Artificial Intelligence, Vol. 43, No. 1
- Kai-Fu Lee, Hsiao-Wuen Hon, Raj Reddy (1990). An overview of the SPHINX speech recognition system. IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 38, No. 1, pdf
- Alex Waibel, Kai-Fu Lee (eds.) (1990). Readings in Speech Recognition. Elsevier
- Kai-Fu Lee (1993). The conversational computer: an Apple perspective. EUROSPEECH 1993
2000 ...
2010 ...
External Links
- Kai-Fu Lee from Wikipedia
- The Mathematics Genealogy Project - Kai-Fu Lee
- Kai Fu Lee | LinkedIn
- Kai-Fu Lee (@kaifulee) | Twitter
- Kai-Fu Lee: How AI can save our humanity | TED Talk, April 2018, YouTube Video
References
- ↑ Kai-Fu Lee, July 09, 2018, by SheilaShang, Wikimedia Commons
- ↑ Kai-Fu Lee, Sanjoy Mahajan (1986). BILL: a table-based, knowledge-intensive othello program. Technial Report CMU-CS-86-141, Carnegie Mellon University
- ↑ BILL: An Othello program released under the GPL from Sanjoy Mahajan's Home Page
- ↑ Kai-Fu Lee (1986). A pattern classification approach to evaluation function learning. Technial Report CMU-CS-86-173, Carnegie Mellon University
- ↑ Bill from The strong learning Othello Programs, Machine Learning in Games by Jay Scott
- ↑ dblp: Kai-Fu Lee
- ↑ Hidden Markov model from Wikipedia
- ↑ Delighting Chinese Users: The Google China Experience, October 17, 2008 at Columbia University, School of International and Public Affairs (SIPA), YouTube Video
- ↑ 'AI Superpowers': A Conversation With Kai-Fu Lee by Andrew McLaughlin, October 2, 2018, YouTube Video
